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Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 22
作者:  Zhang, Weigang;  Qi, Zhaobo;  Wang, Shuhui;  Su, Chi;  Su, Li;  Huang, Qingming
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Event recognition  temporal concept receptive field  dynamic convolution  
General Greedy De-Bias Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9789-9805
作者:  Han, Xinzhe;  Wang, Shuhui;  Su, Chi;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Task analysis  Correlation  Training  Data models  Question answering (information retrieval)  Visualization  Image classification  Curriculum learning  dataset biases  greedy strategy  robust learning  
Self-Regulated Learning for Egocentric Video Activity Anticipation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 6715-6730
作者:  Qi, Zhaobo;  Wang, Shuhui;  Su, Chi;  Su, Li;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Predictive models  Dairy products  Semantics  Feature extraction  Visualization  Activity recognition  Task analysis  Egocentric video activity anticipaiton  third-person video activity anticipaiton  contrastive learning  multi-task learning  self-regulated learning  
Syntax-Guided Hierarchical Attention Network for Video Captioning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 2, 页码: 880-892
作者:  Deng, Jincan;  Li, Liang;  Zhang, Beichen;  Wang, Shuhui;  Zha, Zhengjun;  Huang, Qingming
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Syntactics  Feature extraction  Visualization  Generators  Semantics  Two dimensional displays  Three-dimensional displays  Video captioning  syntax attention  content attention  global sentence-context  
Local-binarized very deep residual network for visual categorization 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 页码: 82-93
作者:  Liu, Xuejing;  Li, Liang;  Wang, Shuhui;  Zha, Zheng-Jun;  Huang, Qingming
收藏  |  浏览/下载：40/0  |  提交时间：2021/12/01
Network compression and acceleration  Pose estimation  Object recognition  Saliency detection  Local binary residual block  
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 3, 页码: 858-872
作者:  Song, Guoli;  Wang, Shuhui;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
Multimodal learning  Gaussian process  latent variable modeling  cross-modal retrieval  
Learning Feature Representation and Partial Correlation for Multimodal Multi-Label Data 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1882-1894
作者:  Song, Guoli;  Wang, Shuhui;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01
Semantics  Correlation  Task analysis  Data models  Learning systems  Kernel  Deep learning  Cross-modal retrieval  correlation learning  feature learning  partial correlation  
Graph Regularized Encoder-Decoder Networks for Image Representation Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3124-3136
作者:  Yang, Shijie;  Li, Liang;  Wang, Shuhui;  Zhang, Weigang;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Laplace equations  Visualization  Manifolds  Image reconstruction  Task analysis  Decoding  Semantics  Auto-encoder  encoder-decoder  graph regularizer  image representation learning  
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 832-836
作者:  Liu, Mengyi;  Wang, Shuhui;  Guo, Yulan;  He, Yuan;  Xue, Hui
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Depth estimation  semantic segmentation  pano-ramic video  self-supervised learning  
Augmented Adversarial Training for Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 559-571
作者:  Wu, Yiling;  Wang, Shuhui;  Song, Guoli;  Huang, Qingming
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Cross-modal retrieval  data alignment  adversa-rial training